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Keyword Search Criteria: Multiple imputation returned 48 record(s)
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Monday, 07/31/2017
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An Evaluation of Multiple Imputation Methods for Hierarchical Data
Takayuki Abe, Keio University School of Medicine; Manabu Iwasaki, Seikei University
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Efficient Algorithm for Multiple Imputation of Missing Health Outcomes
Chris Liu, University of Michigan-School of Nursing
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A Modified LOCF-PMM Method with Multiple Imputation for Handling Missing Data in Longitudinal Studies
Busola Sanusi, The University of North Carolina at Chapel Hill; Kenneth Liu, Merck & Co.; Gregory Golm, Merck & Co., Inc.
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Sensitivity Analysis of Andersen-Gill Model
Dongmei Lan; Jill Stankowski, ICON PLC
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Multiply Robust Nonparametric Multiple Imputation for the Treatment of Missing Data
Sixia Chen; David Haziza, University of Montreal
8:35 AM
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A Multiple Imputation Method Based on Bayesian Quantile Regression Model for Handling Intermittent Missing Data
MinJae Lee, The University of Texas Health Science Center at Houston; Mohammad Rahbar, University of Texas Health Science Center at Houston; John Reveille, The University of Texas Health Science Center at Houston; Michael Weisman , Cedars-Sinai Medical Center; Michael Ward, National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS)/NIH; Lianne Gensler, University of California, San Francisco; Matthew Brown, Queensland University of Technology
9:05 AM
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Adaptive Design by Benchmarked Sequential Sampling and Benchmarked Multiple Imputation
Shin-Jung Lee, University of Michigan
12:05 PM
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Tuesday, 08/01/2017
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Placebo-Based Multiple Imputation Methods for Sensitivity Analysis in Recurrent Event Data
Rui Yang, Chiltern International Inc
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Placebo-Based Multiple Imputation Methods for Sensitivity Analysis in Recurrent Event Data
Rui Yang, Chiltern International Inc
9:45 AM
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Analyzing the Multiply Imputed Accelerometer Data in the 2003-2004 National Health and Nutrition Examination Survey
Benmei Liu, National Cancer Institute; Mandi Yu, National Cancer Institute; Barry I. Graubard, National Cancer Institute; Richard Troiano, National Cancer Institute; Nathaniel Schenker, Retired
11:00 AM
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Estimating Continuous Long-Term Daily Health Behavior Using Missing by Design Methods with Application for Medication Adherence of People Living with HIV
Ofer Harel, University of Connecticut
2:05 PM
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Maximum Likelihood Multiple Imputation: a More Efficient Approach to Repairing and Analyzing Incomplete Data
Paul T von Hippel, University of Texas
2:05 PM
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Hot Deck Imputation: Proper or Improper?
Rebecca Andridge, Ohio State University
3:05 PM
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Wednesday, 08/02/2017
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Estimating Principal Casual Effects with Multiple Imputations
Myung Shin Sim, UCLA; Chi-Hong Tseng, UCLA
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Highly Robust Multiple Imputation Models Using BART
Michael R. Elliott, University of Michigan; Vincent Tan, Univerisity of Michigan; Carol Flannagan, Univerisity of Michigan
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Multiple Imputation in Longitudinal Studies with Circularity
Elizabeth Petraglia, Westat
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Imputation of Missing Data in Surveys and Studies in Dental Research
Michael Larsen, George Washington University; Charles D Larsen, Stony Brook School of Dental Medicine
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Imputation for Longitudinal Study of Effectiveness of an Anti-Smoking Campaign
Qiao Ma, NORC at the University of Chicago; Josiane Bechara, NORC at the University of Chicago; Edward Mulrow, NORC; Zachary Haskell Seeskin, NORC at the University of Chicago; Morgane Bennett, Truth Initiative; Jennifer Cantrell, Truth Initiative; Elizabeth Hair, Truth Initiative; Donna Vallone, Truth Initiative
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Multiple Imputation of Non-Ignorable Binary Missing Data Using a Censored Bivariate Probit Model
Angelina Hammon
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Multiple Imputation to Evaluate the Impact of an Assay Change in National Surveys
Maya Sternberg, Centers for Disease Control & Prevention
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Highly Robust Multiple Imputation Models Using BART
Michael R. Elliott, University of Michigan; Vincent Tan, Univerisity of Michigan; Carol Flannagan, Univerisity of Michigan
9:00 AM
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Differentiated Effects of Data Analyses on Between- and Within-Imputation Variances in Multiple Imputation
Qiyuan Pan, NCHS/CDC; Rong Wei, NCHS / CDC; Yulei He, National Center for Health Statistics
9:05 AM
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Multiple Imputation in Longitudinal Studies with Circularity
Elizabeth Petraglia, Westat
9:05 AM
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Estimand Choice and Handling of Treatment Switch in Randomized Clinical Trials
Ulker Aydemir, INC Research
9:05 AM
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Multiple Imputation of Non-Ignorable Binary Missing Data Using a Censored Bivariate Probit Model
Angelina Hammon
9:10 AM
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Generating Partially Synthetic Geocoded Public-Use Data with Decreased Disclosure Risk Using Differential Smoothing
Harrison Quick, Drexel University; Scott H. Holan, University of Missouri; Christopher Wikle, University of Missouri
9:15 AM
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Multiple Imputation to Evaluate the Impact of an Assay Change in National Surveys
Maya Sternberg, Centers for Disease Control & Prevention
9:15 AM
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Imputation of Missing Data in Surveys and Studies in Dental Research
Michael Larsen, George Washington University; Charles D Larsen, Stony Brook School of Dental Medicine
9:30 AM
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Evaluating Imputation Techniques for Longitudinal Study of Effectiveness of an Anti-Smoking Campaign
Qiao Ma, NORC at the University of Chicago; Josiane Bechara, NORC at the University of Chicago; Edward Mulrow, NORC; Zachary Haskell Seeskin, NORC at the University of Chicago; Morgane Bennett, Truth Initiative; Jennifer Cantrell, Truth Initiative; Elizabeth Hair, Truth Initiative; Donna Vallone, Truth Initiative
9:35 AM
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A Practical Application of Multiple Imputation (MI) in a Double Blinded Randomized Phase III Study in Spinal Muscular Atrophy
Peng Sun, Biogen; Richard Foster, Biogen; Guochen Song, Biogen; John Zhong, Biogen
11:05 AM
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Extending Multiple Imputation of a Clinical Trial Outcome to Nonparametric Methods
Kimberly Walters, Statistics Collaborative, Inc.; Lisa Weissfeld, Statistics Collaborative, Inc.
11:35 AM
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Subgroup Analyzes from Multiple Imputed Data Sets
Tianyue Zhou; Zhiying Qiu, Sanofi; Meehyung Cho, Sanofi; Hui Quan, Sanofi
11:50 AM
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Implementing Multiple Imputation in Non-Inferiority Clinical Trials
Brian Wiens, Tobira Therapeutics; Ilya Lipkovich, QuintilesIMS
12:05 PM
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Multiple Imputation for Handling Measurement Errors
Trivellore Raghunathan, University of Michigan School of Public Health
2:05 PM
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Sequential BART for Imputation of Missing Covariates in the Presence of Auxiliary Covariates
Dandan Xu, The University of Texas at Austin; Michael J Daniels, University of Texas at Austin
2:25 PM
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Multiple Imputation in Data Fusion: Making Better Assumptions Than Conditional Independence
Volker Bosch, GfK SE; Philipp Gaffert, GfK SE
2:45 PM
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Addressing Differential Measurement Error in Self-Reported Dietary Data Using an External Validation Study: Application to a Longitudinal Lifestyle Intervention Trial
Juned Siddique, Northwestern University; Raymond Carroll, Texas A&M University; Michael J Daniels, University of Texas at Austin; Trivellore Raghunathan, University of Michigan School of Public Health; Elizabeth Stuart, Johns Hopkins University; Laurence Freedman, Gertner Institute for Epidemiology and Health Policy Research
3:05 PM
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The Impact of Multiple Imputation of Missing Data on the Statistical Inference in Health Disparities Research
Yihe Huang, George Washington University; Yan Ma, The George Washington University
3:20 PM
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Handling Incomplete Correlated Continuous and Binary Outcomes in Meta-Analysis of Individual Participant Data
Manuel Gomes, London School of Hygiene and Tropical Medicine; Laura Anne Hatfield, Harvard Medical School; Sharon-Lise Normand, Harvard Medical School
3:25 PM
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Thursday, 08/03/2017
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Enhancing the NHANES CMS Medicaid Linked Data with Multiple Imputation
Jennifer R Rammon, National Center for Health Statistics; Jennifer Parker, National Center for Health Statistics; Yulei He, National Center for Health Statistics
8:35 AM
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How Robust Are Your Trial Results? An Applied Comparison of Time-To-Event Missing Data Analyses
Joshua Rapkin, Abbott
8:35 AM
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Comparison of Frameworks for Tipping Point Analyzes
Achim Guettner, Novartis; Summer Xia, Novartis
8:55 AM
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Calibrated Multiple Imputation
Joseph Kang, National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention; Yulei He, National Center for Health Statistics; Precious Esie, National Center for HIV/AIDS, Viral Hepatitis, STD, and TB; Jaeyoung Hong, National Center for HIV/AIDS, Viral Hepatitis, STD, and TB; Kyle Bernstein, National Center for HIV/AIDS, Viral Hepatitis, STD, and TB
9:00 AM
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Within-Strata vs. Full-range Predictor Variable Multiple Imputation Procedures for Cox Models
Philimon Gona, University of Massachusetts Boston; Vasco Chikwasha, University of Zimbabwe College of Health Sciences; Sowmya R Rao, Boston University
9:05 AM
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Multiple Imputation Using Control Quantile Statistics
David Li, Pfizer
9:15 AM
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Bayesian Model Averaging in Multiple Imputation Under Informative Sampling
Gyuhyeong Goh, Kansas State University; Jae-kwang Kim, Iowa State University
10:35 AM
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